Resources

Get Started

Try to do the following before the first day of class.

1. Install Python

• Recommended: Miniconda. Be sure to get the Python 3 version! Once you have Miniconda, open your terminal application (or cmd on Windows), and enter the following commands ($ is the command prompt on most Unix shells. It would be something like C:\> in Windows’s terminal, cmd. You don’t type/copy the prompt from shell examples like this.):

$ conda update conda
$ conda install ipython numpy pandas matplotlib jupyter
$ conda install requests beautifulsoup4 sqlite statsmodels scipy scikit-learn

For this class you don’t need the third line above, but these are common packages used in data analytics.

2. Check Your Python Installation

1. Open a terminal, i.e., operating system (OS) command shell.

   • The Mac OS X terminal is /Applications/Utilities/Terminal.app in the Finder. You should drag Terminal to your dock – you’ll use it often.

   • On Windows search for and run cmd.exe, for example by simply typing cmd in the start search box.

2. At the command prompt type python3 --version. You should get a response like Python 3.5.2 :: Continuum Analytics, Inc..

   • Note: on Windows the Python 3 command is just python (without the 3). Anaconda/Miniconda also aliases python to python3.

3. Choose, install and configure a text editor using our text editors guide.

In this class we will use the terminal, the Python REPLs (python and ipython), and text editors. We will not use an integrated development environment (IDE) such as IDLE or PyCharm. Learning how to use the command line and text editors is crucial to becoming a competent programmer and data manipulator.

Learn About Programming and Computing

• Basic Unix - a tutorial introduction to the Unix command line that will give you the basic skills you need for this class should you choose to use a unix-like operating system like Linux or Mac OS X
• Windows command line tutorial
• Windows command line reference
• Text Editors - an intro to text editors for beginning programmers

Learn About Python

• Online Python documentation: https://docs.python.org/3/
• Python Style Guide
• Jay Summet’s previous CS 2316 class web sites